Job Description
Artificial Intelligence (AI) is looking for an experienced Data Scientist – AI Focus to take ownership of the AI Research & Development charter at a mid level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 6 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Neural Network Architectures, Deep Learning, AI Research, Development, Machine Learning. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Remote (Pan India) on a full-time (wfh) arrangement. Compensation is benchmarked at INR 18.0-43.2 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai research & development.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The successful candidate will bring approximately 6 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Neural Network Architectures, Deep Learning, AI Research, Development, Machine Learning. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Remote (Pan India) on a full-time (wfh) arrangement. Compensation is benchmarked at INR 18.0-43.2 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai research & development.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.